Overview

Dataset statistics

Number of variables17
Number of observations13611
Missing cells0
Missing cells (%)0.0%
Duplicate rows68
Duplicate rows (%)0.5%
Total size in memory1.8 MiB
Average record size in memory136.0 B

Variable types

Numeric16
Categorical1

Alerts

Dataset has 68 (0.5%) duplicate rowsDuplicates

Reproduction

Analysis started2024-07-17 08:35:24.874393
Analysis finished2024-07-17 08:36:39.186948
Duration1 minute and 14.31 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

Area
Real number (ℝ)

Distinct12011
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53048.285
Minimum20420
Maximum254616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:39.415135image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum20420
5-th percentile27660.5
Q136328
median44652
Q361332
95-th percentile89824.5
Maximum254616
Range234196
Interquartile range (IQR)25004

Descriptive statistics

Standard deviation29324.096
Coefficient of variation (CV)0.55278122
Kurtosis10.800814
Mean53048.285
Median Absolute Deviation (MAD)10386
Skewness2.952931
Sum7.220402 × 108
Variance8.5990259 × 108
MonotonicityNot monotonic
2024-07-17T14:06:39.703457image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35442 4
 
< 0.1%
38426 4
 
< 0.1%
34774 4
 
< 0.1%
40504 4
 
< 0.1%
52266 4
 
< 0.1%
34594 4
 
< 0.1%
33518 4
 
< 0.1%
28122 4
 
< 0.1%
38273 4
 
< 0.1%
36109 4
 
< 0.1%
Other values (12001) 13571
99.7%
ValueCountFrequency (%)
20420 1
< 0.1%
20464 1
< 0.1%
20548 1
< 0.1%
20711 1
< 0.1%
20786 1
< 0.1%
20942 1
< 0.1%
21101 1
< 0.1%
21314 1
< 0.1%
21348 1
< 0.1%
21397 1
< 0.1%
ValueCountFrequency (%)
254616 1
< 0.1%
251432 1
< 0.1%
248424 1
< 0.1%
241322 1
< 0.1%
237270 1
< 0.1%
234898 1
< 0.1%
233751 1
< 0.1%
231066 1
< 0.1%
230867 1
< 0.1%
226806 1
< 0.1%

Perimeter
Real number (ℝ)

Distinct13351
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean855.28346
Minimum524.736
Maximum1985.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:39.994234image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum524.736
5-th percentile617.737
Q1703.5235
median794.941
Q3977.213
95-th percentile1181.124
Maximum1985.37
Range1460.634
Interquartile range (IQR)273.6895

Descriptive statistics

Standard deviation214.2897
Coefficient of variation (CV)0.25054816
Kurtosis3.5881233
Mean855.28346
Median Absolute Deviation (MAD)117.877
Skewness1.6261235
Sum11641263
Variance45920.074
MonotonicityNot monotonic
2024-07-17T14:06:40.282279image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
701.644 3
 
< 0.1%
683.341 3
 
< 0.1%
911.589 3
 
< 0.1%
984.123 3
 
< 0.1%
805.168 3
 
< 0.1%
984.152 2
 
< 0.1%
740.017 2
 
< 0.1%
930.03 2
 
< 0.1%
639.039 2
 
< 0.1%
732.103 2
 
< 0.1%
Other values (13341) 13586
99.8%
ValueCountFrequency (%)
524.736 1
< 0.1%
524.932 1
< 0.1%
525.413 1
< 0.1%
528.408 1
< 0.1%
530.683 1
< 0.1%
530.825 1
< 0.1%
531.318 1
< 0.1%
533.701 1
< 0.1%
534.717 1
< 0.1%
534.918 1
< 0.1%
ValueCountFrequency (%)
1985.37 1
< 0.1%
1921.685 1
< 0.1%
1919.868 1
< 0.1%
1895.94 1
< 0.1%
1884.557 1
< 0.1%
1869.885 1
< 0.1%
1849.699 1
< 0.1%
1849.371 1
< 0.1%
1847.94 1
< 0.1%
1845.855 1
< 0.1%

MajorAxisLength
Real number (ℝ)

Distinct13543
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean320.14187
Minimum183.60117
Maximum738.86015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:40.587725image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum183.60117
5-th percentile224.64467
Q1253.30363
median296.88337
Q3376.49501
95-th percentile448.32394
Maximum738.86015
Range555.25899
Interquartile range (IQR)123.19138

Descriptive statistics

Standard deviation85.694186
Coefficient of variation (CV)0.26767566
Kurtosis2.5319021
Mean320.14187
Median Absolute Deviation (MAD)54.974243
Skewness1.3578153
Sum4357451
Variance7343.4935
MonotonicityNot monotonic
2024-07-17T14:06:40.913169image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
306.5338861 2
 
< 0.1%
365.7450534 2
 
< 0.1%
337.1714639 2
 
< 0.1%
347.4427551 2
 
< 0.1%
352.4820889 2
 
< 0.1%
365.2980956 2
 
< 0.1%
398.3767662 2
 
< 0.1%
404.3694213 2
 
< 0.1%
349.4594503 2
 
< 0.1%
396.8343705 2
 
< 0.1%
Other values (13533) 13591
99.9%
ValueCountFrequency (%)
183.601165 1
< 0.1%
183.9652515 1
< 0.1%
185.3819214 1
< 0.1%
186.0791494 1
< 0.1%
187.1686348 1
< 0.1%
188.9191604 1
< 0.1%
189.7993849 1
< 0.1%
190.2826321 1
< 0.1%
191.1765253 1
< 0.1%
191.2029134 1
< 0.1%
ValueCountFrequency (%)
738.8601535 1
< 0.1%
738.1445017 1
< 0.1%
726.3734932 1
< 0.1%
722.4940683 1
< 0.1%
721.2160984 1
< 0.1%
720.6955205 1
< 0.1%
719.1256904 1
< 0.1%
715.0530398 1
< 0.1%
713.9672821 1
< 0.1%
713.366837 1
< 0.1%

MinorAxisLength
Real number (ℝ)

Distinct13543
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.27071
Minimum122.51265
Maximum460.1985
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:41.205338image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum122.51265
5-th percentile153.81363
Q1175.84817
median192.43173
Q3217.03174
95-th percentile267.88518
Maximum460.1985
Range337.68584
Interquartile range (IQR)41.183571

Descriptive statistics

Standard deviation44.970091
Coefficient of variation (CV)0.22232626
Kurtosis6.6510668
Mean202.27071
Median Absolute Deviation (MAD)19.063147
Skewness2.2382105
Sum2753106.7
Variance2022.3091
MonotonicityNot monotonic
2024-07-17T14:06:41.516337image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160.5917844 2
 
< 0.1%
198.0564098 2
 
< 0.1%
160.0360674 2
 
< 0.1%
172.1287909 2
 
< 0.1%
189.3009514 2
 
< 0.1%
175.4863836 2
 
< 0.1%
182.0855177 2
 
< 0.1%
197.1457639 2
 
< 0.1%
202.9347314 2
 
< 0.1%
196.1712129 2
 
< 0.1%
Other values (13533) 13591
99.9%
ValueCountFrequency (%)
122.5126535 1
< 0.1%
129.5762069 1
< 0.1%
129.7481935 1
< 0.1%
130.7366895 1
< 0.1%
131.4330586 1
< 0.1%
132.1435531 1
< 0.1%
132.1875207 1
< 0.1%
132.298336 1
< 0.1%
132.3079693 1
< 0.1%
132.6402186 1
< 0.1%
ValueCountFrequency (%)
460.1984968 1
< 0.1%
450.9261867 1
< 0.1%
449.3396784 1
< 0.1%
447.4183287 1
< 0.1%
446.0436176 1
< 0.1%
440.686418 1
< 0.1%
435.8378565 1
< 0.1%
432.5894199 1
< 0.1%
432.3898213 1
< 0.1%
429.9621282 1
< 0.1%

AspectRation
Real number (ℝ)

Distinct13543
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.583242
Minimum1.0248676
Maximum2.4303064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:41.826973image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum1.0248676
5-th percentile1.208047
Q11.4323069
median1.5511237
Q31.7071089
95-th percentile2.0820115
Maximum2.4303064
Range1.4054389
Interquartile range (IQR)0.274802

Descriptive statistics

Standard deviation0.24667846
Coefficient of variation (CV)0.15580591
Kurtosis0.11381444
Mean1.583242
Median Absolute Deviation (MAD)0.13542285
Skewness0.5825734
Sum21549.507
Variance0.06085026
MonotonicityNot monotonic
2024-07-17T14:06:42.331196image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.908776886 2
 
< 0.1%
1.846671127 2
 
< 0.1%
2.106846721 2
 
< 0.1%
2.018504594 2
 
< 0.1%
1.862019637 2
 
< 0.1%
2.081632137 2
 
< 0.1%
2.187855307 2
 
< 0.1%
2.051118996 2
 
< 0.1%
1.722028791 2
 
< 0.1%
2.022898083 2
 
< 0.1%
Other values (13533) 13591
99.9%
ValueCountFrequency (%)
1.024867596 1
< 0.1%
1.036422681 1
< 0.1%
1.041963699 1
< 0.1%
1.047159612 1
< 0.1%
1.049180121 1
< 0.1%
1.049424005 1
< 0.1%
1.060785687 1
< 0.1%
1.06079802 1
< 0.1%
1.064697761 1
< 0.1%
1.065247205 1
< 0.1%
ValueCountFrequency (%)
2.430306447 1
< 0.1%
2.388873436 1
< 0.1%
2.387394886 1
< 0.1%
2.383260481 1
< 0.1%
2.364016609 1
< 0.1%
2.358271756 1
< 0.1%
2.350473191 1
< 0.1%
2.347666241 1
< 0.1%
2.345077704 1
< 0.1%
2.34329324 1
< 0.1%

Eccentricity
Real number (ℝ)

Distinct13543
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.75089493
Minimum0.21895126
Maximum0.91142297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:42.621692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.21895126
5-th percentile0.56104933
Q10.71592775
median0.76444081
Q30.81046598
95-th percentile0.87710167
Maximum0.91142297
Range0.6924717
Interquartile range (IQR)0.094538238

Descriptive statistics

Standard deviation0.092001763
Coefficient of variation (CV)0.12252282
Kurtosis1.3874556
Mean0.75089493
Median Absolute Deviation (MAD)0.047162019
Skewness-1.0628239
Sum10220.431
Variance0.0084643244
MonotonicityNot monotonic
2024-07-17T14:06:42.892011image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.851782424 2
 
< 0.1%
0.840691128 2
 
< 0.1%
0.880178416 2
 
< 0.1%
0.868655702 2
 
< 0.1%
0.843549607 2
 
< 0.1%
0.877053739 2
 
< 0.1%
0.889431436 2
 
< 0.1%
0.873101348 2
 
< 0.1%
0.81411022 2
 
< 0.1%
0.86926848 2
 
< 0.1%
Other values (13533) 13591
99.9%
ValueCountFrequency (%)
0.218951263 1
< 0.1%
0.262774375 1
< 0.1%
0.280936588 1
< 0.1%
0.296720861 1
< 0.1%
0.302576233 1
< 0.1%
0.303273094 1
< 0.1%
0.333648694 1
< 0.1%
0.333679658 1
< 0.1%
0.343278441 1
< 0.1%
0.344601032 1
< 0.1%
ValueCountFrequency (%)
0.911422968 1
< 0.1%
0.908167319 1
< 0.1%
0.908047776 1
< 0.1%
0.907712239 1
< 0.1%
0.90612554 1
< 0.1%
0.90564377 1
< 0.1%
0.904983696 1
< 0.1%
0.904744384 1
< 0.1%
0.904522875 1
< 0.1%
0.904369714 1
< 0.1%

ConvexArea
Real number (ℝ)

Distinct12066
Distinct (%)88.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53768.2
Minimum20684
Maximum263261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:43.179108image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum20684
5-th percentile28011.5
Q136714.5
median45178
Q362294
95-th percentile91282
Maximum263261
Range242577
Interquartile range (IQR)25579.5

Descriptive statistics

Standard deviation29774.916
Coefficient of variation (CV)0.55376441
Kurtosis10.74364
Mean53768.2
Median Absolute Deviation (MAD)10566
Skewness2.9418211
Sum7.3183897 × 108
Variance8.8654561 × 108
MonotonicityNot monotonic
2024-07-17T14:06:43.466776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37023 5
 
< 0.1%
38941 4
 
< 0.1%
43198 4
 
< 0.1%
47888 4
 
< 0.1%
41706 4
 
< 0.1%
31423 4
 
< 0.1%
47446 4
 
< 0.1%
45243 4
 
< 0.1%
47729 4
 
< 0.1%
44262 4
 
< 0.1%
Other values (12056) 13570
99.7%
ValueCountFrequency (%)
20684 1
< 0.1%
20772 1
< 0.1%
20825 1
< 0.1%
20988 1
< 0.1%
21057 1
< 0.1%
21191 1
< 0.1%
21462 1
< 0.1%
21587 1
< 0.1%
21590 1
< 0.1%
21731 1
< 0.1%
ValueCountFrequency (%)
263261 1
< 0.1%
257425 1
< 0.1%
251082 1
< 0.1%
244319 1
< 0.1%
240671 1
< 0.1%
238265 1
< 0.1%
237344 1
< 0.1%
233243 1
< 0.1%
232903 1
< 0.1%
231500 1
< 0.1%

EquivDiameter
Real number (ℝ)

Distinct12011
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.06422
Minimum161.24376
Maximum569.37436
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:43.759714image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum161.24376
5-th percentile187.66577
Q1215.068
median238.43803
Q3279.44647
95-th percentile338.18354
Maximum569.37436
Range408.13059
Interquartile range (IQR)64.378463

Descriptive statistics

Standard deviation59.17712
Coefficient of variation (CV)0.2338423
Kurtosis5.1920573
Mean253.06422
Median Absolute Deviation (MAD)28.341218
Skewness1.9489576
Sum3444457.1
Variance3501.9315
MonotonicityNot monotonic
2024-07-17T14:06:44.046083image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
212.4291787 4
 
< 0.1%
221.1911001 4
 
< 0.1%
210.4177557 4
 
< 0.1%
227.0931406 4
 
< 0.1%
257.9673197 4
 
< 0.1%
209.8724584 4
 
< 0.1%
206.5827753 4
 
< 0.1%
189.2248464 4
 
< 0.1%
220.7503049 4
 
< 0.1%
214.4187649 4
 
< 0.1%
Other values (12001) 13571
99.7%
ValueCountFrequency (%)
161.2437642 1
< 0.1%
161.4173908 1
< 0.1%
161.7483421 1
< 0.1%
162.3886209 1
< 0.1%
162.6823813 1
< 0.1%
163.29171 1
< 0.1%
163.9104256 1
< 0.1%
164.7356296 1
< 0.1%
164.86697 1
< 0.1%
165.0560709 1
< 0.1%
ValueCountFrequency (%)
569.3743583 1
< 0.1%
565.8031152 1
< 0.1%
562.4084465 1
< 0.1%
554.3110259 1
< 0.1%
549.6376504 1
< 0.1%
546.883372 1
< 0.1%
545.5465304 1
< 0.1%
542.4042484 1
< 0.1%
542.1706318 1
< 0.1%
537.381027 1
< 0.1%

Extent
Real number (ℝ)

Distinct13535
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.74973279
Minimum0.55531472
Maximum0.86619464
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:44.349370image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.55531472
5-th percentile0.6551083
Q10.71863353
median0.75985895
Q30.7868515
95-th percentile0.81225291
Maximum0.86619464
Range0.31087992
Interquartile range (IQR)0.068217969

Descriptive statistics

Standard deviation0.049086367
Coefficient of variation (CV)0.065471816
Kurtosis0.64331884
Mean0.74973279
Median Absolute Deviation (MAD)0.032074741
Skewness-0.89534843
Sum10204.613
Variance0.0024094714
MonotonicityNot monotonic
2024-07-17T14:06:44.620580image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.708824975 2
 
< 0.1%
0.749505266 2
 
< 0.1%
0.819059011 2
 
< 0.1%
0.725920615 2
 
< 0.1%
0.757630139 2
 
< 0.1%
0.787569967 2
 
< 0.1%
0.601419526 2
 
< 0.1%
0.627271882 2
 
< 0.1%
0.787711843 2
 
< 0.1%
0.789365079 2
 
< 0.1%
Other values (13525) 13591
99.9%
ValueCountFrequency (%)
0.555314717 1
< 0.1%
0.566669254 1
< 0.1%
0.566767527 1
< 0.1%
0.57023762 1
< 0.1%
0.570274961 1
< 0.1%
0.572208854 1
< 0.1%
0.572379135 1
< 0.1%
0.573367347 1
< 0.1%
0.574040364 1
< 0.1%
0.574417687 1
< 0.1%
ValueCountFrequency (%)
0.866194641 1
< 0.1%
0.85841985 1
< 0.1%
0.852841426 1
< 0.1%
0.852268603 1
< 0.1%
0.851948052 1
< 0.1%
0.850744228 1
< 0.1%
0.850251311 1
< 0.1%
0.848622642 1
< 0.1%
0.84797499 1
< 0.1%
0.846362465 1
< 0.1%

Solidity
Real number (ℝ)

Distinct13522
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.98714284
Minimum0.91924616
Maximum0.9946775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:44.906810image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.91924616
5-th percentile0.97840498
Q10.9856704
median0.988283
Q30.99001311
95-th percentile0.99202732
Maximum0.9946775
Range0.075431343
Interquartile range (IQR)0.0043427115

Descriptive statistics

Standard deviation0.0046603792
Coefficient of variation (CV)0.0047210788
Kurtosis12.799621
Mean0.98714284
Median Absolute Deviation (MAD)0.002029079
Skewness-2.5500931
Sum13436.001
Variance2.1719134 × 10-5
MonotonicityNot monotonic
2024-07-17T14:06:45.184052image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.982329069 2
 
< 0.1%
0.991076264 2
 
< 0.1%
0.990205184 2
 
< 0.1%
0.980017293 2
 
< 0.1%
0.986691276 2
 
< 0.1%
0.979472301 2
 
< 0.1%
0.986484175 2
 
< 0.1%
0.989206349 2
 
< 0.1%
0.991359178 2
 
< 0.1%
0.981596903 2
 
< 0.1%
Other values (13512) 13591
99.9%
ValueCountFrequency (%)
0.919246157 1
< 0.1%
0.943559301 1
< 0.1%
0.944568068 1
< 0.1%
0.946633681 1
< 0.1%
0.946719096 1
< 0.1%
0.947666764 1
< 0.1%
0.949023205 1
< 0.1%
0.949102529 1
< 0.1%
0.951947517 1
< 0.1%
0.953296108 1
< 0.1%
ValueCountFrequency (%)
0.9946775 1
< 0.1%
0.994378182 1
< 0.1%
0.994259633 1
< 0.1%
0.994213484 1
< 0.1%
0.99408218 1
< 0.1%
0.994081773 1
< 0.1%
0.994049175 1
< 0.1%
0.993945441 1
< 0.1%
0.993919333 1
< 0.1%
0.993905511 1
< 0.1%

roundness
Real number (ℝ)

Distinct13540
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.87328183
Minimum0.48961826
Maximum0.9906854
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:45.640749image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.48961826
5-th percentile0.77095546
Q10.83209633
median0.88315729
Q30.91686883
95-th percentile0.95925361
Maximum0.9906854
Range0.50106714
Interquartile range (IQR)0.084772504

Descriptive statistics

Standard deviation0.059519888
Coefficient of variation (CV)0.068156563
Kurtosis0.37430633
Mean0.87328183
Median Absolute Deviation (MAD)0.039831678
Skewness-0.63574895
Sum11886.239
Variance0.0035426171
MonotonicityNot monotonic
2024-07-17T14:06:45.962206image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.78228301 2
 
< 0.1%
0.798728556 2
 
< 0.1%
0.789488352 2
 
< 0.1%
0.788808932 2
 
< 0.1%
0.814603545 2
 
< 0.1%
0.822849045 2
 
< 0.1%
0.748511932 2
 
< 0.1%
0.787385321 2
 
< 0.1%
0.794389513 2
 
< 0.1%
0.813728734 2
 
< 0.1%
Other values (13530) 13591
99.9%
ValueCountFrequency (%)
0.489618256 1
< 0.1%
0.556765826 1
< 0.1%
0.57180091 1
< 0.1%
0.576028662 1
< 0.1%
0.577843594 1
< 0.1%
0.59370828 1
< 0.1%
0.595048401 1
< 0.1%
0.601978543 1
< 0.1%
0.605399396 1
< 0.1%
0.60656967 1
< 0.1%
ValueCountFrequency (%)
0.9906854 1
< 0.1%
0.987919735 1
< 0.1%
0.987089244 1
< 0.1%
0.986812285 1
< 0.1%
0.986684731 1
< 0.1%
0.986114961 1
< 0.1%
0.986102963 1
< 0.1%
0.985949497 1
< 0.1%
0.984965881 1
< 0.1%
0.984877069 1
< 0.1%

Compactness
Real number (ℝ)

Distinct13543
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.79986368
Minimum0.64057676
Maximum0.98730297
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:46.287436image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.64057676
5-th percentile0.69056671
Q10.76246875
median0.80127668
Q30.83426991
95-th percentile0.90898975
Maximum0.98730297
Range0.34672621
Interquartile range (IQR)0.071801164

Descriptive statistics

Standard deviation0.061713463
Coefficient of variation (CV)0.077154976
Kurtosis-0.22345947
Mean0.79986368
Median Absolute Deviation (MAD)0.035725658
Skewness0.037115458
Sum10886.945
Variance0.0038085515
MonotonicityNot monotonic
2024-07-17T14:06:46.577341image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.721597149 2
 
< 0.1%
0.724485451 2
 
< 0.1%
0.685669954 2
 
< 0.1%
0.70305102 2
 
< 0.1%
0.732188358 2
 
< 0.1%
0.691954132 2
 
< 0.1%
0.674817096 2
 
< 0.1%
0.696376459 2
 
< 0.1%
0.75144569 2
 
< 0.1%
0.70109382 2
 
< 0.1%
Other values (13533) 13591
99.9%
ValueCountFrequency (%)
0.640576759 1
< 0.1%
0.645367658 1
< 0.1%
0.645796363 1
< 0.1%
0.646562019 1
< 0.1%
0.64876196 1
< 0.1%
0.649038704 1
< 0.1%
0.649189479 1
< 0.1%
0.651630803 1
< 0.1%
0.65187098 1
< 0.1%
0.652148018 1
< 0.1%
ValueCountFrequency (%)
0.987302969 1
< 0.1%
0.981611143 1
< 0.1%
0.979431992 1
< 0.1%
0.97673884 1
< 0.1%
0.97589476 1
< 0.1%
0.975594507 1
< 0.1%
0.970515523 1
< 0.1%
0.970471434 1
< 0.1%
0.968733066 1
< 0.1%
0.968443994 1
< 0.1%

ShapeFactor1
Real number (ℝ)

Distinct13521
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0065636085
Minimum0.002778013
Maximum0.010451169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:46.958523image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.002778013
5-th percentile0.004781539
Q10.005899917
median0.006645174
Q30.00727142
95-th percentile0.008305289
Maximum0.010451169
Range0.007673156
Interquartile range (IQR)0.001371503

Descriptive statistics

Standard deviation0.0011279982
Coefficient of variation (CV)0.17185641
Kurtosis0.71435483
Mean0.0065636085
Median Absolute Deviation (MAD)0.000677032
Skewness-0.53414055
Sum89.337275
Variance1.27238 × 10-6
MonotonicityNot monotonic
2024-07-17T14:06:47.268112image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.006754749 2
 
< 0.1%
0.006310487 2
 
< 0.1%
0.00706211 2
 
< 0.1%
0.007078945 2
 
< 0.1%
0.007355746 2
 
< 0.1%
0.006492974 2
 
< 0.1%
0.006321996 2
 
< 0.1%
0.007356237 2
 
< 0.1%
0.006908984 2
 
< 0.1%
0.006506303 2
 
< 0.1%
Other values (13511) 13591
99.9%
ValueCountFrequency (%)
0.002778013 1
< 0.1%
0.002855716 1
< 0.1%
0.00286012 1
< 0.1%
0.002878357 1
< 0.1%
0.002901861 1
< 0.1%
0.002909101 1
< 0.1%
0.002942455 1
< 0.1%
0.002959317 1
< 0.1%
0.002974423 1
< 0.1%
0.002984943 1
< 0.1%
ValueCountFrequency (%)
0.010451169 1
< 0.1%
0.009897003 1
< 0.1%
0.00982398 1
< 0.1%
0.009747874 1
< 0.1%
0.009720056 1
< 0.1%
0.009669149 1
< 0.1%
0.00966647 1
< 0.1%
0.009661587 1
< 0.1%
0.009652959 1
< 0.1%
0.009612311 1
< 0.1%

ShapeFactor2
Real number (ℝ)

Distinct13506
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0017159473
Minimum0.000564169
Maximum0.003664972
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:47.578483image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.000564169
5-th percentile0.0009112715
Q10.00115352
median0.001693531
Q30.002170268
95-th percentile0.002724234
Maximum0.003664972
Range0.003100803
Interquartile range (IQR)0.001016748

Descriptive statistics

Standard deviation0.00059587485
Coefficient of variation (CV)0.34725707
Kurtosis-0.8592542
Mean0.0017159473
Median Absolute Deviation (MAD)0.000512899
Skewness0.30122592
Sum23.355759
Variance3.5506684 × 10-7
MonotonicityNot monotonic
2024-07-17T14:06:47.852581image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00109864 3
 
< 0.1%
0.001015771 2
 
< 0.1%
0.002388518 2
 
< 0.1%
0.000935566 2
 
< 0.1%
0.001043913 2
 
< 0.1%
0.00091597 2
 
< 0.1%
0.001209774 2
 
< 0.1%
0.00105393 2
 
< 0.1%
0.001046791 2
 
< 0.1%
0.000979686 2
 
< 0.1%
Other values (13496) 13590
99.8%
ValueCountFrequency (%)
0.000564169 1
< 0.1%
0.000566989 1
< 0.1%
0.000567843 1
< 0.1%
0.000572451 1
< 0.1%
0.000589955 1
< 0.1%
0.000590595 1
< 0.1%
0.000592256 1
< 0.1%
0.000601694 1
< 0.1%
0.000605579 1
< 0.1%
0.000606765 1
< 0.1%
ValueCountFrequency (%)
0.003664972 1
< 0.1%
0.003573241 1
< 0.1%
0.003563624 1
< 0.1%
0.003545182 1
< 0.1%
0.003506417 1
< 0.1%
0.003470231 1
< 0.1%
0.003434872 1
< 0.1%
0.003418781 1
< 0.1%
0.003412363 1
< 0.1%
0.003392637 1
< 0.1%

ShapeFactor3
Real number (ℝ)

Distinct13543
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.64359018
Minimum0.41033858
Maximum0.97476715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:48.145864image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.41033858
5-th percentile0.47688238
Q10.58135859
median0.64204432
Q30.69600628
95-th percentile0.82626237
Maximum0.97476715
Range0.56442857
Interquartile range (IQR)0.11464769

Descriptive statistics

Standard deviation0.09899615
Coefficient of variation (CV)0.15381862
Kurtosis-0.14447504
Mean0.64359018
Median Absolute Deviation (MAD)0.057161848
Skewness0.24248093
Sum8759.906
Variance0.0098002378
MonotonicityNot monotonic
2024-07-17T14:06:48.419918image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.520702445 2
 
< 0.1%
0.524879169 2
 
< 0.1%
0.470143286 2
 
< 0.1%
0.494280737 2
 
< 0.1%
0.536099791 2
 
< 0.1%
0.478800521 2
 
< 0.1%
0.455378113 2
 
< 0.1%
0.484940173 2
 
< 0.1%
0.564670625 2
 
< 0.1%
0.491532544 2
 
< 0.1%
Other values (13533) 13591
99.9%
ValueCountFrequency (%)
0.410338584 1
< 0.1%
0.416499415 1
< 0.1%
0.417052942 1
< 0.1%
0.418042444 1
< 0.1%
0.420892081 1
< 0.1%
0.421251239 1
< 0.1%
0.42144698 1
< 0.1%
0.424622703 1
< 0.1%
0.424935775 1
< 0.1%
0.425297037 1
< 0.1%
ValueCountFrequency (%)
0.974767153 1
< 0.1%
0.963560435 1
< 0.1%
0.959287027 1
< 0.1%
0.954018762 1
< 0.1%
0.952370582 1
< 0.1%
0.951784642 1
< 0.1%
0.941900381 1
< 0.1%
0.941814803 1
< 0.1%
0.938443753 1
< 0.1%
0.937883769 1
< 0.1%

ShapeFactor4
Real number (ℝ)

Distinct13532
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.99506331
Minimum0.9476874
Maximum0.99973253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size106.5 KiB
2024-07-17T14:06:48.713097image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Quantile statistics

Minimum0.9476874
5-th percentile0.9869831
Q10.9937029
median0.99638594
Q30.99788254
95-th percentile0.99899198
Maximum0.99973253
Range0.052045127
Interquartile range (IQR)0.0041796475

Descriptive statistics

Standard deviation0.0043664577
Coefficient of variation (CV)0.0043881205
Kurtosis13.038067
Mean0.99506331
Median Absolute Deviation (MAD)0.001817961
Skewness-2.7594829
Sum13543.807
Variance1.9065953 × 10-5
MonotonicityNot monotonic
2024-07-17T14:06:49.023114image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.991327833 2
 
< 0.1%
0.969279207 2
 
< 0.1%
0.997805139 2
 
< 0.1%
0.993904791 2
 
< 0.1%
0.972379074 2
 
< 0.1%
0.996686551 2
 
< 0.1%
0.990519842 2
 
< 0.1%
0.996467418 2
 
< 0.1%
0.996301421 2
 
< 0.1%
0.998228338 2
 
< 0.1%
Other values (13522) 13591
99.9%
ValueCountFrequency (%)
0.947687403 1
< 0.1%
0.949990311 1
< 0.1%
0.951238836 1
< 0.1%
0.95503249 1
< 0.1%
0.956866857 1
< 0.1%
0.957232663 1
< 0.1%
0.957325108 1
< 0.1%
0.957327553 1
< 0.1%
0.957747709 1
< 0.1%
0.958284825 1
< 0.1%
ValueCountFrequency (%)
0.99973253 1
< 0.1%
0.999709101 1
< 0.1%
0.999707336 1
< 0.1%
0.999680521 1
< 0.1%
0.999674292 1
< 0.1%
0.999670452 1
< 0.1%
0.999659526 1
< 0.1%
0.999652276 1
< 0.1%
0.999637011 1
< 0.1%
0.999625379 1
< 0.1%

Class
Categorical

Distinct7
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size106.5 KiB
DERMASON
3546 
SIRA
2636 
SEKER
2027 
HOROZ
1928 
CALI
1630 
Other values (2)
1844 

Length

Max length8
Median length6
Mean length5.7978841
Min length4

Characters and Unicode

Total characters78915
Distinct characters17
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSEKER
2nd rowSEKER
3rd rowSEKER
4th rowSEKER
5th rowSEKER

Common Values

ValueCountFrequency (%)
DERMASON 3546
26.1%
SIRA 2636
19.4%
SEKER 2027
14.9%
HOROZ 1928
14.2%
CALI 1630
12.0%
BARBUNYA 1322
 
9.7%
BOMBAY 522
 
3.8%

Length

2024-07-17T14:06:49.448096image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-07-17T14:06:49.758107image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
ValueCountFrequency (%)
dermason 3546
26.1%
sira 2636
19.4%
seker 2027
14.9%
horoz 1928
14.2%
cali 1630
12.0%
barbunya 1322
 
9.7%
bombay 522
 
3.8%

Most occurring characters

ValueCountFrequency (%)
R 11459
14.5%
A 10978
13.9%
S 8209
10.4%
O 7924
10.0%
E 7600
9.6%
N 4868
 
6.2%
I 4266
 
5.4%
M 4068
 
5.2%
B 3688
 
4.7%
D 3546
 
4.5%
Other values (7) 12309
15.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 78915
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
R 11459
14.5%
A 10978
13.9%
S 8209
10.4%
O 7924
10.0%
E 7600
9.6%
N 4868
 
6.2%
I 4266
 
5.4%
M 4068
 
5.2%
B 3688
 
4.7%
D 3546
 
4.5%
Other values (7) 12309
15.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 78915
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
R 11459
14.5%
A 10978
13.9%
S 8209
10.4%
O 7924
10.0%
E 7600
9.6%
N 4868
 
6.2%
I 4266
 
5.4%
M 4068
 
5.2%
B 3688
 
4.7%
D 3546
 
4.5%
Other values (7) 12309
15.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 78915
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
R 11459
14.5%
A 10978
13.9%
S 8209
10.4%
O 7924
10.0%
E 7600
9.6%
N 4868
 
6.2%
I 4266
 
5.4%
M 4068
 
5.2%
B 3688
 
4.7%
D 3546
 
4.5%
Other values (7) 12309
15.6%

Interactions

2024-07-17T14:06:33.745589image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:25.722657image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:30.132374image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:34.720145image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:39.108180image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:43.396793image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:47.967044image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:52.899471image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:57.212357image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:01.745451image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:06.148340image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:10.433934image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:14.893776image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:20.161920image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:24.776926image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
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2024-07-17T14:06:00.959010image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:05.186099image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:09.613988image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:13.977061image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:19.235597image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:23.997354image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:28.531552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:32.963887image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:37.451973image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:29.635560image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:34.169698image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:38.417740image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:42.847008image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:47.414506image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:52.292034image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:56.730393image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:01.220614image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:05.639450image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:09.891957image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:14.284079image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:19.533455image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:24.263883image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:28.793153image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:33.238829image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:37.703888image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:29.888991image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:34.460371image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:38.855692image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:43.113241image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:47.685117image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:52.617450image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:05:56.970199image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:01.481290image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:05.898552image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:10.171282image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:14.604703image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:19.904248image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:24.527555image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:29.054192image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
2024-07-17T14:06:33.499681image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/

Missing values

2024-07-17T14:06:38.283413image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-07-17T14:06:38.852426image/svg+xmlMatplotlib v3.5.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

AreaPerimeterMajorAxisLengthMinorAxisLengthAspectRationEccentricityConvexAreaEquivDiameterExtentSolidityroundnessCompactnessShapeFactor1ShapeFactor2ShapeFactor3ShapeFactor4Class
028395610.291208.178117173.8887471.1971910.54981228715190.1410970.7639230.9888560.9580270.9133580.0073320.0031470.8342220.998724SEKER
128734638.018200.524796182.7344191.0973560.41178529172191.2727510.7839680.9849860.8870340.9538610.0069790.0035640.9098510.998430SEKER
229380624.110212.826130175.9311431.2097130.56272729690193.4109040.7781130.9895590.9478490.9087740.0072440.0030480.8258710.999066SEKER
330008645.884210.557999182.5165161.1536380.49861630724195.4670620.7826810.9766960.9039360.9283290.0070170.0032150.8617940.994199SEKER
430140620.134201.847882190.2792791.0607980.33368030417195.8965030.7730980.9908930.9848770.9705160.0066970.0036650.9419000.999166SEKER
530279634.927212.560556181.5101821.1710670.52040130600196.3477020.7756880.9895100.9438520.9237260.0070200.0031530.8532700.999236SEKER
630477670.033211.050155184.0390501.1467680.48947830970196.9886330.7624020.9840810.8530800.9333740.0069250.0032420.8711860.999049SEKER
730519629.727212.996755182.7372041.1655910.51376030847197.1243200.7706820.9893670.9671090.9254800.0069790.0031580.8565140.998345SEKER
830685635.681213.534145183.1571461.1658520.51408131044197.6596960.7715610.9884360.9542400.9256580.0069590.0031520.8568440.998953SEKER
930834631.934217.227813180.8974691.2008340.55364231120198.1390120.7836830.9908100.9702780.9121250.0070450.0030080.8319730.999061SEKER
AreaPerimeterMajorAxisLengthMinorAxisLengthAspectRationEccentricityConvexAreaEquivDiameterExtentSolidityroundnessCompactnessShapeFactor1ShapeFactor2ShapeFactor3ShapeFactor4Class
1360142042771.515288.082674186.3470901.5459470.76261542476231.3645110.8162540.9897820.8875740.8031180.0068520.0017580.6449990.997134DERMASON
1360242047768.936292.975007183.1391411.5997400.78054342446231.3782680.7738900.9906000.8936440.7897540.0069680.0016720.6237120.997777DERMASON
1360342049770.185290.163403185.0516851.5680130.77024342503231.3837710.7560050.9893180.8907900.7974260.0069010.0017210.6358880.997080DERMASON
1360442070763.489289.022373186.1234341.5528530.76504642556231.4415430.7688230.9885800.9069360.8007740.0068700.0017430.6412390.995750DERMASON
1360542070760.701276.691651193.9453671.4266470.71321642458231.4415430.7308130.9908620.9135960.8364600.0065770.0019860.6996660.998176DERMASON
1360642097759.696288.721612185.9447051.5527280.76500242508231.5157990.7145740.9903310.9166030.8018650.0068580.0017490.6429880.998385DERMASON
1360742101757.499281.576392190.7131361.4764390.73570242494231.5267980.7999430.9907520.9220150.8222520.0066880.0018860.6760990.998219DERMASON
1360842139759.321281.539928191.1879791.4725820.73406542569231.6312610.7299320.9898990.9184240.8227300.0066810.0018880.6768840.996767DERMASON
1360942147763.779283.382636190.2757311.4893260.74105542667231.6532470.7053890.9878130.9079060.8174570.0067240.0018520.6682370.995222DERMASON
1361042159772.237295.142741182.2047161.6198410.78669342600231.6862230.7889620.9896480.8883800.7849970.0070010.0016400.6162210.998180DERMASON

Duplicate rows

Most frequently occurring

AreaPerimeterMajorAxisLengthMinorAxisLengthAspectRationEccentricityConvexAreaEquivDiameterExtentSolidityroundnessCompactnessShapeFactor1ShapeFactor2ShapeFactor3ShapeFactor4Class# duplicates
033518702.956277.571399154.3055811.7988420.83124034023206.5827750.8083830.9851570.8523770.7442510.0082810.0015670.5539090.996396HOROZ2
133954716.750277.368480156.3563261.7739510.82597034420207.9220420.7994820.9864610.8305490.7496240.0081690.0015910.5619360.996847HOROZ2
238427756.323306.533886160.5917841.9087770.85178238773221.1939780.7969760.9910760.8441740.7215970.0079770.0013340.5207020.993905HOROZ2
338891791.343319.499996156.8696192.0367230.87116839651222.5254120.6500250.9808330.7804220.6964800.0082150.0011920.4850850.987983HOROZ2
440804790.802323.475648163.2877171.9810160.86324141636227.9325920.7875700.9800170.8199310.7046360.0079280.0012060.4965120.983598HOROZ2
541978821.864337.171464160.0360672.1068470.88017842593231.1883420.6848850.9855610.7809650.6856700.0080320.0010950.4701430.990520HOROZ2
642156815.245335.198243160.9369382.0827920.87720042586231.6779800.8340460.9899030.7970640.6911670.0079510.0011190.4777120.994975HOROZ2
742450828.116347.951525156.4693662.2237680.89318642820232.4844480.6093880.9913590.7778670.6681520.0081970.0010080.4464270.992750HOROZ2
843099815.390328.234078168.6101161.9467050.85797743710234.2548850.6976660.9860220.8146040.7136820.0076160.0012190.5093430.991539HOROZ2
943746836.693339.352567165.4114422.0515660.87316144442236.0066460.7137780.9843390.7852640.6954620.0077570.0011190.4836670.992274HOROZ2